Chapter 13 Flashcards
A statistical significance test for determining whether two or more means are significantly different.
Analysis of variance/F test
The probability of incorrectly rejecting the null hypothesis that is used by a researcher to decide whether an outcome of a study is statistically significant
Alpha level
And interval of values within which there is a given level of confidence where the population value lies
Confidence interval
A concept used in tests a statistical significance; the number of observations that are free to vary to produce a known outcome
Degrees of freedom
Random variability in a set of scores that is not the result of the independent variable. Statistically the variability of each score from its group mean.
Error variance
Statistics designed to determine whether results based on sample data are generalizable to a population
Inferential statistics
The hypothesis, used for statistical purposes, that the variables under investigation are not related in the population, that any observed effect based on sample results is due to random error
Null hypothesis
The probability of correctly rejecting the null hypothesis
Power
The likelihood that a given event (among a specific set of events) will occur
Probability
The hypothesis that the variables under investigation are related in the population – that the observed effect based on sample data is true in the population
Research hypothesis
Theoretical distribution of the frequency of all possible outcomes of a study conducted with a given sample size
Sampling distribution
Rejection of the null hypothesis when an outcome has a low probability of occurrence (usually .05 or less) if, in fact, the no hypothesis is correct
Statistical significance
Variability in a set of scores that is the result of the independent variable; statistically, the variability of each group mean from the grand mean of all subjects
Systemic variance
A statistical significance test used to compare differences between means
T-test
An incorrect decision to reject the null hypothesis when it is true
Type I error